<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[SpadgerZ的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/SpadgerZ</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; SpadgerZ]]></copyright><item><title><![CDATA[Ubuntu批量新建文件]]></title><link>https://blog.youkuaiyun.com/SpadgerZ/article/details/127916445</link><guid>https://blog.youkuaiyun.com/SpadgerZ/article/details/127916445</guid><author>SpadgerZ</author><pubDate>Fri, 18 Nov 2022 09:59:31 +0800</pubDate><description><![CDATA[Ubuntu指令]]></description><category></category></item><item><title><![CDATA[解决“Could not load dynamic library ‘libcusolver.so.10‘”问题]]></title><link>https://blog.youkuaiyun.com/SpadgerZ/article/details/127552224</link><guid>https://blog.youkuaiyun.com/SpadgerZ/article/details/127552224</guid><author>SpadgerZ</author><pubDate>Thu, 27 Oct 2022 14:45:09 +0800</pubDate><description><![CDATA[libcusolver.so.10
 ]]></description><category></category></item><item><title><![CDATA[解决Tensorflow error(CUBLAS_STATUS_EXECUTION_FAILED)报错问题]]></title><link>https://blog.youkuaiyun.com/SpadgerZ/article/details/127547662</link><guid>https://blog.youkuaiyun.com/SpadgerZ/article/details/127547662</guid><author>SpadgerZ</author><pubDate>Thu, 27 Oct 2022 14:24:47 +0800</pubDate><description><![CDATA[显卡CUDA tensorflow-gpu]]></description><category></category></item><item><title><![CDATA[解决pip安装whl文件报错问题]]></title><link>https://blog.youkuaiyun.com/SpadgerZ/article/details/127546467</link><guid>https://blog.youkuaiyun.com/SpadgerZ/article/details/127546467</guid><author>SpadgerZ</author><pubDate>Thu, 27 Oct 2022 10:10:08 +0800</pubDate><description><![CDATA[pip安装过程报错]]></description><category></category></item><item><title><![CDATA[解决“OSError: cannot load library ‘libsndfile.so‘ ”问题]]></title><link>https://blog.youkuaiyun.com/SpadgerZ/article/details/127533038</link><guid>https://blog.youkuaiyun.com/SpadgerZ/article/details/127533038</guid><author>SpadgerZ</author><pubDate>Wed, 26 Oct 2022 15:13:52 +0800</pubDate><description><![CDATA[解决librosa报错问题]]></description><category></category></item><item><title><![CDATA[解决Python3.5版本下安装librosa报错问题]]></title><link>https://blog.youkuaiyun.com/SpadgerZ/article/details/127529302</link><guid>https://blog.youkuaiyun.com/SpadgerZ/article/details/127529302</guid><author>SpadgerZ</author><pubDate>Wed, 26 Oct 2022 13:55:58 +0800</pubDate><description><![CDATA[安装librosa]]></description><category></category></item><item><title><![CDATA[解决Docker镜像报错“ImportError: libcuda.so.1: cannot open shared object file: No such file or directory”问题]]></title><link>https://blog.youkuaiyun.com/SpadgerZ/article/details/127528618</link><guid>https://blog.youkuaiyun.com/SpadgerZ/article/details/127528618</guid><author>SpadgerZ</author><pubDate>Wed, 26 Oct 2022 11:12:59 +0800</pubDate><description><![CDATA[docker镜像tensorflow-gpu]]></description><category></category></item><item><title><![CDATA[解决“AttributeError: ‘str‘ object has no attribute ‘decode‘”问题]]></title><link>https://blog.youkuaiyun.com/SpadgerZ/article/details/127493099</link><guid>https://blog.youkuaiyun.com/SpadgerZ/article/details/127493099</guid><author>SpadgerZ</author><pubDate>Mon, 24 Oct 2022 15:13:27 +0800</pubDate><description><![CDATA[解决Python代码bug]]></description><category></category></item><item><title><![CDATA[Python读取文件路径并移动到指定文件夹]]></title><link>https://blog.youkuaiyun.com/SpadgerZ/article/details/127420659</link><guid>https://blog.youkuaiyun.com/SpadgerZ/article/details/127420659</guid><author>SpadgerZ</author><pubDate>Thu, 20 Oct 2022 09:39:21 +0800</pubDate><description><![CDATA[Python批量移动文件]]></description><category></category></item><item><title><![CDATA[Python查找文件夹下所有指定后缀名的文件路径]]></title><link>https://blog.youkuaiyun.com/SpadgerZ/article/details/127420475</link><guid>https://blog.youkuaiyun.com/SpadgerZ/article/details/127420475</guid><author>SpadgerZ</author><pubDate>Thu, 20 Oct 2022 09:33:05 +0800</pubDate><description><![CDATA[Python获取文件路径并写入txt]]></description><category></category></item><item><title><![CDATA[Python转换音频采样率（8k到16k）]]></title><link>https://blog.youkuaiyun.com/SpadgerZ/article/details/127420337</link><guid>https://blog.youkuaiyun.com/SpadgerZ/article/details/127420337</guid><author>SpadgerZ</author><pubDate>Thu, 20 Oct 2022 09:26:57 +0800</pubDate><description><![CDATA[Python转换音频采样率]]></description><category></category></item><item><title><![CDATA[Ubuntu批量创建文件夹]]></title><link>https://blog.youkuaiyun.com/SpadgerZ/article/details/127388268</link><guid>https://blog.youkuaiyun.com/SpadgerZ/article/details/127388268</guid><author>SpadgerZ</author><pubDate>Tue, 18 Oct 2022 14:41:39 +0800</pubDate><description><![CDATA[Ubuntu快捷指令]]></description><category></category></item><item><title><![CDATA[Ubuntu查看文件（夹）数目]]></title><link>https://blog.youkuaiyun.com/SpadgerZ/article/details/127383358</link><guid>https://blog.youkuaiyun.com/SpadgerZ/article/details/127383358</guid><author>SpadgerZ</author><pubDate>Tue, 18 Oct 2022 10:42:05 +0800</pubDate><description><![CDATA[Ubuntu常用命令]]></description><category></category></item><item><title><![CDATA[使用Faster RCNN训练自己的数据集]]></title><link>https://blog.youkuaiyun.com/SpadgerZ/article/details/116721906</link><guid>https://blog.youkuaiyun.com/SpadgerZ/article/details/116721906</guid><author>SpadgerZ</author><pubDate>Wed, 12 May 2021 22:51:33 +0800</pubDate><description><![CDATA[使用Faster RCNN训练自己的数据集，过程不太顺利，踩坑数次，所以把流程记录一下。

所使用的代码版本：faster-rcnn.pytorch

1.源码及环境配置

原Github版本使用的Pytorch==0.4.0，但是看了网上的博客记录这个版本有较多错误无法解决，建议使用Pytorch==1.0.0及以上版本；

源码
Pytorch0.4.0版源码：https://github.com/jwyang/faster-rcnn.pytorch.git

Pytorch1.0.0版源码：https]]></description><category></category></item><item><title><![CDATA[解决“测试TensorRT安装过程中download_pgms.py报错”问题]]></title><link>https://blog.youkuaiyun.com/SpadgerZ/article/details/116450345</link><guid>https://blog.youkuaiyun.com/SpadgerZ/article/details/116450345</guid><author>SpadgerZ</author><pubDate>Thu, 06 May 2021 11:42:51 +0800</pubDate><description><![CDATA[问题描述

尝试使用TensorRT对yolov5模型推理加速，首先进行安装，参考博客已经写的很详细了：Ubuntu1804+CUDA10.0安装TensorRT7

对了，在更改环境配置的时候还添加了CUDA和cuDNN：


vim ~/.bashrc

# tensorrt cuda and cudnn
export CUDA_INSTALL_DIR=/usr/local/cuda
export CUDNN_INSTALL_DIR=/usr/local/cuda


source ~/.bashrc
]]></description><category></category></item><item><title><![CDATA[解决“ImportError: cannot import name imsave“问题]]></title><link>https://blog.youkuaiyun.com/SpadgerZ/article/details/116234874</link><guid>https://blog.youkuaiyun.com/SpadgerZ/article/details/116234874</guid><author>SpadgerZ</author><pubDate>Wed, 28 Apr 2021 15:33:37 +0800</pubDate><description><![CDATA[问题描述

今天在跑一个Github两年前代码的时候出现报错：


from scipy.misc import imsave

ImportError: cannot import name 'imsave'

但是检查过后发现自己已经安装了scipy模块，通过检查scipy的内部函数模块时发现没有imsave等函数


import scipy.misc

print(dir(scipy.misc))

搜索之后发现是scipy版本的原因：在scipy 1.3之后，scipy.misc.imread\i]]></description><category></category></item><item><title><![CDATA[解决“Pytorch中指定GPU跑程序”问题]]></title><link>https://blog.youkuaiyun.com/SpadgerZ/article/details/116224595</link><guid>https://blog.youkuaiyun.com/SpadgerZ/article/details/116224595</guid><author>SpadgerZ</author><pubDate>Wed, 28 Apr 2021 09:09:41 +0800</pubDate><description><![CDATA[问题描述

在用别人的代码跑实验时候，需要指定GPU来跑，但是代码里面又没有给GPU编号相关参数。

解决方法

简单粗暴，直接在开头指定


CUDA_VISIBLE_DEVICES=0 python train.py

同时这也是官方建议的方法
...]]></description><category></category></item><item><title><![CDATA[解决YOLOv5“test.py”最后输出值为0的问题]]></title><link>https://blog.youkuaiyun.com/SpadgerZ/article/details/115837439</link><guid>https://blog.youkuaiyun.com/SpadgerZ/article/details/115837439</guid><author>SpadgerZ</author><pubDate>Sun, 18 Apr 2021 18:48:34 +0800</pubDate><description><![CDATA[问题描述

在用yolov5跑实验的时候，训练完成之后要测试算法模型的mAP等参数，但是在实验室服务器跑测试的时候发现最后输出结果(Targets/P/R/mAP@.5/mAP@.5:.95)为0，而且网上关于yolov5 test.py的解释很少，所以只能自己踩坑了。


python test.py --weights ./weights/best.pt --data ./data/test.yaml --batch-size 16 --device 0


解决方法

后来发现是路径的问题，将其改为
]]></description><category></category></item><item><title><![CDATA[解决“CUDA out of memory.”问题]]></title><link>https://blog.youkuaiyun.com/SpadgerZ/article/details/115742122</link><guid>https://blog.youkuaiyun.com/SpadgerZ/article/details/115742122</guid><author>SpadgerZ</author><pubDate>Thu, 15 Apr 2021 22:42:38 +0800</pubDate><description><![CDATA[问题描述

今天在跑实验的时候，将网络模型改得更加复杂了，出现内存不够的报错提示：


RuntimeError: CUDA out of memory. Tried to allocate 1.22 GiB (GPU 1; 14.76 GiB total capacity; 2.65 GiB already allocated; 1.22 GiB free; 3.69 GiB reserved in total by PyTorch)


16GB的GPU都不够用了......

解决方法

将batch]]></description><category></category></item><item><title><![CDATA[解决“Could not find a version that satisfies the requirement torch...”问题]]></title><link>https://blog.youkuaiyun.com/SpadgerZ/article/details/115601342</link><guid>https://blog.youkuaiyun.com/SpadgerZ/article/details/115601342</guid><author>SpadgerZ</author><pubDate>Sun, 11 Apr 2021 16:29:12 +0800</pubDate><description><![CDATA[问题描述

今天在跑实验创建虚拟环境deepsort配置Pytorch的时候，首先创建了虚拟环境，但是没有指定Python版本，按照网上博客的顺序执行了该指令


pip install torch==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html

然后出现了报错


Collecting torch==1.6.0+cu101
  Could not find a vers]]></description><category></category></item></channel></rss>